A formal framework for robot learning and control under model uncertainty

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2007, Pages 2104-2110

  Jaulmes, Robin ^a   Pineau, Joelle ^a   Precup, Doina ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; MATHEMATICAL MODELS; OPTIMIZATION; PUBLIC POLICY; ROBOTS; UNCERTAINTY ANALYSIS;

MEDUSA; OPTIMAL POLICY; PRIORI KNOWLEDGE; ROBOT CONTROL;

LEARNING SYSTEMS;

EID: 36348970016     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2007.363632     Document Type: Conference Paper

References (14)

1. Bref man, R. I. and Shani, G. "Resolving perceptual aliasing with noisy sensors" NIPS, 2005.
2. Chrisman, L. "Reinforcement learning with, perceptual aliasing: The perceptual distinctions approach." AAAI, 1992.
3. Cohn, D. A., Ghahramani, Z. and Jordan, M. I. "Active Learning with Statistical Models" NIPS, 1996.
4. Dearden, R.,Friedman, N.,Andre, N., "Model Based Bayesian Exploration" UAI, 1999.
5. Jaulmes, R.,Pineau, J.,Precup, D., "Active Learning in Partially Observable Markov Decision Processes" ECML, 2005.
6. Jaulmes, R.,Pineau, J.,Precup, D., "Learning in non-stationary Partially Observable Markov Decision Processes". ECML Workshop on Reinforcement Learning in non-stationary environments, 2005
7. Kaelbling, L., Littman, M. and Cassandra, A. "Planning and Acting in Partially Observable Stochastic Domains" Artificial Intelligence, vol.101, 1998.
8. Littman, M., Cassandra, A. and Kaelbling, L. "Learning policies for partially obsevable environments: scaling up". ICML, 1995.
9. Montemerlo, M., Roy N. and Thrun, S. "Perspectives on Standardization in Mobile Robot Programming: The Carnegie Mellon Navigation (CARMEN) Toolkit". IROS, 2003.
10. Pineau, J., Gordon, G. and Thrun, S. "Point-based value iteration: An anytime algorithm for POMDPs". IJCAI, 2003.
11. Pineau, J., and Gordon, G. "POMDP Planning for Robust Robot Control". ISRR, 2005.
12. Shatkay, H., Kaelbling, L. "Learning topological maps with weak local odometric information". IJCAI, 1997.
13. Spaan, M.T.J, and Vlassis, N. "A point-based POMDP algorithm for robot planning". ICRA, 2004.
14. Sutton, R. and Barto, A. "Reinforcement learning; An introduction". MIT Press, Cambridge, MA. 1998.